Responsible for developing, expanding and optimizing our data and data pipeline architecture
Support software developers, database architects, data analysts and data scientists on data initiatives
Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process
Works with stakeholders including data, design, product and government stakeholders
Perform code reviews and develop processes for improving code quality

Requirements

Minimum of 8 years of experience as a Data Engineer or in hands-on software development
At least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines
Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required
OR 10 years of general information technology experience, including at least 8 years of specialized experience
Expert data pipeline builder and data wrangler
Experienced in designing data architecture for shared services, scalability, and performance
Ability to perform root cause analysis on external and internal processes
Excellent analytic skills associated with working on unstructured datasets
Experience with Agile methodology, using test-driven development
Excellent command of written and spoken English.

Benefits

Full healthcare benefits
Equal Employment Opportunity employer

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaETLdata pipeline architecturedata wranglingdata architectureroot cause analysisAgile methodologytest-driven developmentunstructured datasets

Soft Skills

analytic skillscommunication skills